Association of Data Mining and healthcare domain: Issues and current state of the art

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Fawzi Elias Bekri
Fawzi Elias Bekri
σ
Dr. A. Govardhan
Dr. A. Govardhan
α Jawaharlal Nehru Technological University, Hyderabad

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Association of Data Mining and healthcare domain: Issues and current state of the art

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Abstract

Data mining has been used prosperously in the favorably perceived areas such as e- business, marketing and retail because of which it is now applicable in knowledge discovery in databases (KDD) in many industrial areas and economy. Data mining is mainly gaining its importance and usage in the areas of medicine and public health. In this paper the investigation of present methods of KDD, applying data mining methods for healthcare and public health has been discussed. The problems and difficulties related to data mining and healthcare in practice are also mentioned. In survey, the use of data mining has increased, along with examination of healthcare institutions so that the health policy prepared is the best, perceive disease causes and protect deaths in hospital and discover the dishonest insurance declaration.

References

27 Cites in Article
  1. C Audain (2007). Florence Nightingale.
  2. I Ayres (2008). Super Crunchers.
  3. C Bailey-Kellog,N Ramakrishnan,M Marathe Spatial Data Mining to Support Pandemic Preparedness.
  4. Xiaohong Cao,Karen Maloney,Vladimir Brusic (2008). Data mining of cancer vaccine trials: a bird's-eye view.
  5. T Cheng,C Wei,V Tseng (2006). Feature Selection for Medical Data Mining: Comparisons of Expert Judgment and Automatic Approaches.
  6. (2007). The Fourth Annual HealthGrades Patient Safety in American Hospitals Study.
  7. Y Kou,C.-T Lu,S Sirwongwattana,Y.-P Huang (2004). Survey of fraud detection techniques.
  8. Control (2004). Unknown Title.
  9. F Nightingale (1858). Notes on Matters Affecting the Health, Efficiency and Hospital Administration of the British Army.
  10. Shillabeer (2009). Lecture on Data Mining in the Health Care Industry.
  11. A Shillabeer,J Roddick (2007). Establishing a Lineage for Medical Knowledge Discovery.
  12. E Tandoc (2006). Unknown Title.
  13. K Thangavel,P Jaganathan,P Easmi Data Mining Approach to Cervical Cancer Patients Analysis Using Clustering [14.
  14. E Tufte (1997). Visual Explanations. Images and Quantities, Evidence and Narrative.
  15. W Wong,A Moore,G Cooper,M Wagner (2005). What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks.
  16. Andrew Wilson,Lehana Thabane,Anne Holbrook (2003). Application of data mining techniques in pharmacovigilance.
  17. I Witten,E Frank (2005). Data mining : practical machine learning tools and techniques.
  18. Nada Lavrac,Marko Bohanec,Aleksander Pur,Bojan Cestnik,Marko Debeljak,Andrej Kobler Data mining and visualization for decision support and modeling of public health-care resources.
  19. Kenneth Revett,Florin Gorunescu,Abdel Badeeh,M Salem: Feature selection in Parkinson's disease: A rough sets approach.
  20. B Pogorelc,M Gams (2010). Medically Driven Data Mining Application: Recognition of Health Problems from Gait Patterns of Elderly.
  21. Huidong Jin,; Jie Chen,Hongxing He; Kelman,C Mcaullay,D O'keefe,C (2010). Signaling Potential Adverse Drug Reactions from Administrative Health Databases.
  22. Jian Xu,; Maynard-Zhang,P Jianhua,Chen (2007). Predictive Data Mining to Learn Health Vitals of a Resident in a Smart Home.
  23. I Witten,Eibe Frank (2005). Data Mining: Practical machine learning tools and techniques.
  24. K Ng,Y Shan,D Murray,A Sutinen,B Schwarz,D Jeacocke,J Farrugia (2010). Detecting Non-compliant Consumers in Spatio-Temporal Health Data: A Case Study from Medicare Australia.
  25. J Rogers,C Puleston,A Rector (2006). The CLEF Chronicle: Patient Histories Derived from Electronic Health Records.
  26. L Weed (1969). Medical records medical education, and patient care. The problem-oriented record as a basic tool.
  27. Werner Ceusters,Barry Smith (2005). Strategies for referent tracking in electronic health records.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Fawzi Elias Bekri. 1970. \u201cAssociation of Data Mining and healthcare domain: Issues and current state of the art\u201d. Unknown Journal GJCST Volume 11 (GJCST Volume 11 Issue 21): .

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December 27, 2011

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en
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Data mining has been used prosperously in the favorably perceived areas such as e- business, marketing and retail because of which it is now applicable in knowledge discovery in databases (KDD) in many industrial areas and economy. Data mining is mainly gaining its importance and usage in the areas of medicine and public health. In this paper the investigation of present methods of KDD, applying data mining methods for healthcare and public health has been discussed. The problems and difficulties related to data mining and healthcare in practice are also mentioned. In survey, the use of data mining has increased, along with examination of healthcare institutions so that the health policy prepared is the best, perceive disease causes and protect deaths in hospital and discover the dishonest insurance declaration.

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Association of Data Mining and healthcare domain: Issues and current state of the art

Fawzi Elias Bekri
Fawzi Elias Bekri Jawaharlal Nehru Technological University, Hyderabad
Dr. A. Govardhan
Dr. A. Govardhan

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